Read more about author Farah Kim. It’s a data-driven world, yet most businesses are struggling with dirty data; worse, many are still unable to perform basic tasks like deduplication and record linkage efficiently (and affordably).  A recent report from my company, “Inside 2024’s Data Quality Challenge: Insights from the Frontlines,” reveals some eye-opening insights drawn from real-world conversations with customers. Companies are eager to train AI models and win the…

In April’s Book of the Month, we’re looking at Bob Seiner’s “Non-Invasive Data Governance Unleashed: Empowering People to Govern Data and AI.” This is Seiner’s third book on non-invasive data governance (NIDG) and acts as a companion piece to the original. It provides some focus on how to apply NIDG principles and leverage data governance to assist with AI, as well as other tools and techniques for modern data governance initiatives…

Read more about author Irina Steenbeek. In this series of blog posts, I aim to share some key takeaways from the DGIQ + AIGov Conference 2024 held by DATAVERSITY. These takeaways include my overall professional impressions and a high-level review of the most prominent topics discussed in the conference’s core subject areas: data governance, data quality, and AI governance.  In the first two blog posts of the series, I shared my observations and…

This is the first in a two-part series exploring Data Quality and the ISO 25000 standard.  Read more about author Mark Cooper. In the 1964 dark comedy Dr. Strangelove, or How I Stopped Worrying and Learned to Love the Bomb, General Jack D. Ripper orders a nuclear strike on the USSR. Despite efforts to recall the bombers, one plane successfully drops a bomb on a Soviet target, triggering the Doomsday Device.…